How to bring your Data Science Project in productionUsing Azure Databricks with Spark, Azure Machine Learning Service and Azure DevOpsRené BremerBlockedUnblockFollowFollowingJan…
Continue Readinglearning
Article | “The Most Important Data Science Tool for Market and Customer Segmentation”
K-means is a popular clustering algorithm for unsupervised machine learning. It groups similar data point into a predefined number of groups. Let me explain each…
Continue ReadingExecutive Spotlight: Robert Lee, Vice President & Chief Architect for Pure Storage
Robert Lee: The importance of data governance and provenance have never been as front and center as it is today.…
Continue ReadingAutomated Machine Learning — An Overview
Automated Machine Learning — An OverviewThink GradientBlockedUnblockFollowFollowingJan 20Since the dawn of the computer age, scientists and engineers have always wondered about infusing computers…
Continue ReadingMy Machine Learning Journey and First Kaggle Competition
My Machine Learning Journey and First Kaggle CompetitionHow i started Data Science and First Experience. VolkanBlockedUnblockFollowFollowingJan 22Image taken from Pexel…
Continue ReadingArticle | “Machine Learning – Insurance Applications Use Cases”
Source: Vitalflux | December 16, 2018 Author: Ajitesh Kumar In this post, you will learn about some of the following insurance applications…
Continue ReadingIntroducing Manifold
Introducing ManifoldUber’s Framework for Machine Learning Debugging and InterpretationJesus RodriguezBlockedUnblockFollowFollowingJan 21Machine learning programs defer from traditional software applications in the…
Continue ReadingDeep Learning Vision for Non-Vision Tasks
Deep Learning Vision for Non-Vision TasksLearn about how creative data processing allows using the full power of deep learning vision…
Continue ReadingAgilOne Announces Customer Data Platform Update with New Features for Machine Learning
AgilOne, a leading customer data platform for enterprise B2C brands, announced major advances in machine learning, as well as enhanced…
Continue ReadingGentle Introduction of XGBoost Library
And when not to use XGBoost?Two common terms used in ML is Bagging & BoostingBagging: It is an approach where…
Continue ReadingMachine Learning Compass
Machine Learning CompassMaxim VolginBlockedUnblockFollowFollowingJan 20Machine learning (ML) is not new at all, it just became extremely popular among developers and their…
Continue ReadingA Common Data Science Mistake: Prediction/Recommendation by Manipulating Model Inputs
A Common Data Science Mistake: Prediction/Recommendation by Manipulating Model InputsAmin SadriBlockedUnblockFollowFollowingJan 19“We trained a machine learning model with high performance. However,…
Continue ReadingHow 3 engineers built a record-breaking supernova identification system with deep learning
Are astronomers using modern techniques like neural nets?After talking to astronomers and scrolling through papers online, we soon found out the…
Continue ReadingNew videos from Databricks Academy: Introduction to Machine Learning Series and the Apache Spark™ Cost-Based Optimizer
Databricks’ commitment to education is at the center of the work we do. Through Instructor-Led Training, Certification, and Self-Paced Training,…
Continue ReadingKnock Knock!! I am back and this is all I had been up to
I got two more courses from the Data Science Specialisation …. out of the way;Practical Machine Learning and Developing Data Products.…
Continue ReadingData Scientist’s Dilemma: The Cold Start Problem – Ten Machine Learning Examples
How?This can be a real challenge. Of course nobody said the “cold start” problem would be easy. Anyone who has…
Continue Reading27 Amazing Data Science Books Every Data Scientist Should Read
Books on Probability Probability: For the Enthusiastic Beginner Author: David Morin Ideal book for beginners. It is written for…
Continue ReadingMachine Learning — Should you be a first mover or fast follower?
Machine Learning — Should you be a first mover or fast follower?Tejas MahajanBlockedUnblockFollowFollowingJan 16“Innovation distinguishes between a Leader and a Follower” — Steve JobsPhoto by…
Continue Reading10 Exciting Ideas of 2018 in NLP
By Sebastian Ruder, Aylien. This post gathers 10 ideas that I found exciting and impactful this year—and that well likely…
Continue ReadingPractical Deep Learning for Coders (Review)
Practical deep learning is a challenging subject in which to get started. It is often taught in a bottom-up manner,…
Continue ReadingDecision Boundary Visualization(A-Z)
Decision Boundary Visualization(A-Z)Meaning, Significance, ImplementationNavoneel ChakrabartyBlockedUnblockFollowFollowingJan 16Classification problems have been very common and essential in the field of Data Science.…
Continue ReadingBest of arXiv.org for AI, Machine Learning, and Deep Learning – December 2018
An Introduction to Deep Reinforcement Learning Deep reinforcement learning is the combination of reinforcement learning (RL) and deep learning. This…
Continue ReadingThe Data Fabric for Machine Learning. Part 1.
The Data Fabric for Machine Learning. Part 1. How the new advances in semantics and the data fabric can help us…
Continue ReadingArticle | “3 Charts Show Where Artificial Intelligence is Making an Impact in Healthcare Right Now”
Source: Healthcare IT News | December 21, 2018 Author: Tom Sullivan HIMSS Media research uncovered the key areas where hospitals…
Continue ReadingThe 6 Most Useful Machine Learning Projects of 2018
By George Seif, AI / Machine Learning EngineerThe past year has been a great one for AI and Machine Learning.…
Continue Reading